The Mindplex Podcast Episode 19: Peter Wang-Radically Reinventing Our AI North Stars
Join special guest Peter Wang and our co-hosts Ben Goertzel, Grace Robot and Lisa Rein as we take into a deep dive into what Peter means exactly when he recommends that we “Radically Reinvent Our AI Northstars.”
Peter is the founder of Anaconda, a Dweb pioneer, a physicist an astronomer, and a board member of the Center for Humane Technology. He believes that Low-Code/No-Code platforms (LLMs) have the power to enable 96% of the population to go from ideation to creation with computers, and that will result in a tremendous increase in creativity and the ability for more people to create and innovate.
One of the key benefits that Peter sees in this transformation is the ability for more people to engage in the creation process. So, instead of putting the pieces of a car together, we're all 3D printing Ferraris. Meaning, just as 3D printing allows for the production of complex objects without the need for specialized manufacturing knowledge, LLMs would enable individuals to create sophisticated technological solutions without requiring an extensive technical background.
In order to realize this vision, he suggests that we need to articulate new North Stars instead of merely criticizing the flaws in the current system. By setting clear goals and envisioning a better future, we can guide our actions towards building a more inclusive and fruitful technological society.
About Peter Wang:
Peter Wang is the founder and CEO of Anaconda and a founder of the PyData open-source data science movement. He is also a physicist, with a degree in physics from Cornell University, and an astronomer well known for his incredible DWeb camp starry night tours.
He is a long-time advocate for open-source software, starting with founding the Linux Users Group at Cornell in 1994. He serves on the board of the Center for Humane Technology and has been active in the Internet privacy and decentralization movement for many years.
#LLMs #GenAI #NoCodeDevelopment
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